Published in

Annual Reviews, Annual Review of Genomics and Human Genetics, 1(3), p. 293-310

DOI: 10.1146/annurev.genom.3.030502.101529

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D Atabases and T Ools for B Rowsing G Enomes

Journal article published in 2002 by Ewan Birney ORCID, Michele Clamp, Tim Hubbard
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

▪ Abstract To maximize the value of genome sequences they need to be integrated with other types of biological data and with each other. The entire collection of data then needs to be made available in a way that is easy to view and mine for complex relationships. The recently determined vertebrate genome sequences of human and mouse are so large that building the infrastructure to manage these datasets is a major challenge. This article reviews the database systems and tools for analysis that have so far been developed to address this.